1/*
2 * Licensed to the Apache Software Foundation (ASF) under one
3 * or more contributor license agreements. See the NOTICE file
4 * distributed with this work for additional information
5 * regarding copyright ownership. The ASF licenses this file
6 * to you under the Apache License, Version 2.0 (the
7 * "License"); you may not use this file except in compliance
8 * with the License. You may obtain a copy of the License at
9 *
10 * http://www.apache.org/licenses/LICENSE-2.0
11 *
12 * Unless required by applicable law or agreed to in writing,
13 * software distributed under the License is distributed on an
14 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
15 * KIND, either express or implied. See the License for the
16 * specific language governing permissions and limitations
17 * under the License.
18 */
19
20/*!
21 * \file src/ir/affine_type.cc
22 * \brief The Type information for quantized nodes.
23 */
24#include <tvm/ir/affine_type.h>
25#include <tvm/runtime/registry.h>
26#include <tvm/tir/op.h>
27
28namespace tvm {
29
30using tvm::ReprPrinter;
31using namespace tvm::runtime;
32
33TensorAffineType::TensorAffineType(RelayExpr scale, RelayExpr zero_point, DataType dtype,
34 int axis) {
35 ObjectPtr<TensorAffineTypeNode> n = make_object<TensorAffineTypeNode>();
36 n->scale = std::move(scale);
37 n->zero_point = std::move(zero_point);
38 n->dtype = std::move(dtype);
39 n->axis = std::move(axis);
40 data_ = std::move(n);
41}
42
43TVM_REGISTER_NODE_TYPE(TensorAffineTypeNode);
44
45TVM_REGISTER_GLOBAL("ir.TensorAffineType")
46 .set_body_typed([](RelayExpr scale, RelayExpr zero_point, DataType dtype, int axis) {
47 return TensorAffineType(scale, zero_point, dtype, axis);
48 });
49
50TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable)
51 .set_dispatch<TensorAffineTypeNode>([](const ObjectRef& ref, ReprPrinter* p) {
52 auto* node = static_cast<const TensorAffineTypeNode*>(ref.get());
53 p->stream << "TensorAffineType(" << node->scale << ", " << node->zero_point << ", "
54 << node->dtype << ", " << node->axis << ")";
55 });
56
57TupleAffineType::TupleAffineType(Array<TensorAffineType> types) {
58 ObjectPtr<TupleAffineTypeNode> n = make_object<TupleAffineTypeNode>();
59 n->types = std::move(types);
60 data_ = std::move(n);
61}
62
63TVM_REGISTER_NODE_TYPE(TupleAffineTypeNode);
64
65TVM_REGISTER_GLOBAL("ir.TupleAffineType").set_body_typed([](Array<TensorAffineType> types) {
66 return TupleAffineType(types);
67});
68
69TVM_STATIC_IR_FUNCTOR(ReprPrinter, vtable)
70 .set_dispatch<TupleAffineTypeNode>([](const ObjectRef& ref, ReprPrinter* p) {
71 auto* node = static_cast<const TupleAffineTypeNode*>(ref.get());
72 p->stream << "TupleAffineType([";
73 for (size_t i = 0; i < node->types.size(); ++i) {
74 p->stream << node->types[i];
75 if (i < node->types.size() - 1) {
76 p->stream << ", ";
77 }
78 }
79 p->stream << "])";
80 });
81
82} // namespace tvm
83